Author : Pospisil, Richard

Personality Matters: Prediction of Organizational Commitment Using Leadership and Personality

Thomas Meixner; Richard Pospisil

International Journal of Organizational Leadership, 2021, Volume 10, Issue 3, Pages 248-265
DOI: 10.33844/ijol.2021.60529

This study examines the association between employees’ personality, organizational commitment, and perception of their leaders’ behavior and communication quality. Following this leading research scope, a literature review is conducted, describing different models of organizational commitment and its multi-factorial structure. Leadership is discussed within the framework of transformational, transactional, and avoidant leadership. Leadership and personality variables alike are considered potential predictors of organizational commitment, as it is assessed within this study both from the perspective of emotional and behavioral aspects. The empirical research followed a quantitative, correlative approach, utilizing a sample of n = 300 German business professionals from various fields and applying measures of emotional and behavioral commitment, perceived leadership communication quality, perceived leadership style (transformational, transactional, or avoidant), and employee personality were administered using an online survey. The statistical analyses followed a correlational approach to explain the interplay between the aspects of leadership, personality, and organizational commitment. Using multiple stepwise regression analyses, the study was able to show how both emotional and behavioral commitment are predicted by employee personality (conscientiousness for both measures, neuroticism additionally for emotional commitment), by the perception of a transformational leadership style, and by perceived leadership communication quality. Using these variables, a total of around 30% of the overall variance in both measures of organizational commitment could be explained. Thus, the critical function of leadership and leadership communication in organizational commitment may be demonstrated in conjunction with the role of employee personality. Additionally, the measure of emotional and behavioral commitment's criterion validity may be validated.

Moderating the Relationship between Leadership and Commitment: An Empirical Study on Personality and Values

Thomas Meixner; Richard Pospisil; Pavel Zufan

International Journal of Organizational Leadership, 2021, Volume 10, Issue 2, Pages 115-139
DOI: 10.33844/ijol.2021.60521

Attracting and retaining talent is considered to be among the most crucial challenges for contemporary leadership. Building on this notion, the present paper aims to foster an understanding of the complex interplay between leadership practices and employee commitment. In these regards, the moderating role of personality variables and personal values is critically assessed. Building on a two-dimensional model of organizational commitment, the study proposes that leadership variables predict both emotional and behavioral commitment, with the relationship being moderated by personality variables as assessed throughout the Big Five framework and by personal values. To determine the validity of these hypotheses, an empirical, quantitative study was conducted following an observational design focusing on the employee perspective. Standardized questionnaires were utilized to assess the levels of commitment, the perceived leadership style of the participants’ leaders, their personality and values. A total of n = 310 individuals were recruited for participation in the empirical study, conducted by using an online survey. The statistical analyses showed a stable, significant correlation between the perception of leadership style and both types of organizational commitment, with leadership communication taking on a noteworthy role. The relevance of personality variables and values also could be confirmed, with their predictive power being more substantial for behavioral commitment. This was established using multiple linear regression analyses that compared the predictive power of the individual predictors.